Senior Data Engineer (DataBricks & Data Privacy-LGPD ), Brazil

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
📍 Remote
🌎 Advanced English (C1 or above) - mandatory
About the Role
CI&T is looking for a Senior Data Engineer to join a strategic initiative focused on Data Privacy and Governance for a global client.
In this role, you will act as a technical consultant, supporting the integration between Databricks and data privacy/governance solutions to ensure the client's Data Lake complies with LGPD requirements. You will work closely with cross-functional teams, helping design secure, scalable, and compliant data solutions.
Responsibilities
Act as a technical advisor for the integration between Databricks and data privacy/governance tools.
Support the configuration of connectivity, access permissions, metadata, and security requirements within Databricks.
Guide and validate data discovery, classification, and scanning processes across the Data Lake.
Provide expertise on Databricks data structures, access patterns, and security models.
Collaborate with engineering and business teams to ensure data integrity, usability, and compliance.
Document data architectures, workflows, and technical processes.
Support troubleshooting and provide technical guidance on data-related challenges.
Contribute to Data Lake and Data Warehouse architecture discussions and best practices.
Required Qualifications
Experience in Data Engineering or related roles.
Advanced English (C1 or above), both written and spoken- mandatory
Hands-on experience with Databricks (required), including:
Data structures and Delta tables
Access control and security model
Connectors and metadata management
Strong knowledge of SQL and Apache Spark.
Experience with modern cloud-based data engineering environments.
Experience with Data Lake and Data Warehouse architectures.
Knowledge of dimensional data modeling.
Experience with CI/CD pipelines for data and ETL processes.
Familiarity with data privacy and compliance concepts such as LGPD and GDPR.
Nice to Have
Databricks certification.
Experience with Azure and/or AWS.
Experience with Unity Catalog and Data Governance practices.
Knowledge of Data Quality frameworks and processes.
Experience with data privacy, governance, discovery, or classification platforms.
Experience supporting scanning and classification tools integrated with cloud data platforms.
Experience working with international clients.
Knowledge of Power BI.
Why Join CI&T?
You'll have the opportunity to work on a highly strategic data initiative, helping organizations build secure, scalable, and compliant data platforms while collaborating with global teams and leveraging modern technologies such as Databricks and cloud-native data solutions.

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